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008			130215s2013 xxu| fo |||| 0|eng d
020			_a9781603273374
024	7		_a10.1007/978-1-60327-337-4 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQP624.5 .D726 _b2013 EB
245	0	0	_aStatistical Methods for Microarray Data Analysis : _bMethods and Protocols _cedited by Andrei Y. Yakovlev, Lev Klebanov, Daniel Gaile
250			_a1st edition 2013
264		1	_aNew York, NY _bSpringer International Publishing _c2013
300			_a1 recurso en línea (XI, 212 páginas) _b34 ilustraciones, 14 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aMethods in Molecular Biology _x1940-6029 _v972
505	0		_aWhat Statisticians Should Know About Microarray Gene Expression Technology -- Where Statistics and Molecular Microarray Experiments Biology Meet -- Multiple Hypothesis Testing: A Methodological Overview -- Gene Selection with the d-sequence Method -- Using of Normalizations for Gene Expression Analysis -- Constructing Multivariate Prognostic Gene Signatures with Censored Survival Data -- Clustering of Gene-Expression Data via Normal Mixture Models -- Network-based Analysis of Multivariate Gene Expression Data -- Genomic Outlier Detection in High-throughput Data Analysis -- Impact of Experimental Noise and Annotation Imprecision on Data Quality in Microarray Experiment -- Aggregation Effect in Microarray Data Analysis -- Test for Normality of the Gene Expression Data.
520			_aMicroarrays for simultaneous measurement of redundancy  of RNA species are used in fundamental biology as well as in medical research. Statistically, a microarray may be considered as an observation of very high dimensionality equal to the number of expression levels measured on it. In Statistical Methods for Microarray Data Analysis: Methods and Protocols, expert researchers in the field detail many methods and techniques used to study microarrays, guiding the reader from microarray technology to statistical problems of specific multivariate data analysis. Written in the highly successful Methods in Molecular Biology™ series format, the chapters include the kind of detailed description and implementation advice that is crucial for getting optimal results in the laboratory.  Thorough and intuitive, Statistical Methods for Microarray Data Analysis: Methods and Protocols aids scientists in continuing to study  microarrays and the most current statistical methods.
988			_aSpringer_Protocols_2013
650		7	_2embne _9670812 _aMicromatrices de ADN
776	0	8	_iPrinted edition: _z9781603273367
776	0	8	_iPrinted edition: _z9781607619970
776	0	8	_iPrinted edition: _z9781493950799
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-1-60327-337-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b11/2023 _dz _ean _zSI